Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Official Pytorch implementations of MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition (ICCV 2023)

DEPRECATED & OBSOLETE! Previously StackStorm Enterprise (EWC) Workflow Editor. Now integrated directly into StackStorm OSS Core platform (st2web).

Keras-based framework for implementing continual learning methods.

Implementation of ews weight constraint mentioned in recent Deep Mind paper: http://www.pnas.org/content/early/2017/03/13/1611835114.full.pdf

comparative evaluation of incremental machine learning methods

Tensorflow 1.x implementation of EWC, evaluated on permuted MNIST

This respository hosts the Trust List for the EWC Large Scale Pilots and is co-founded by EU Commission

A spaCy library for Named Entity Recognition with Elastic Weight Consolidation.

European Waste Codes

A short script to search for optimal values of lambda in the sequential learning technique Elastic Weight Consolidation

Login y registro creado mediante Node y EJS, el diseño es simple debido a que el enfoque va mas al sistema de logeo y sus permisos

Continual learning for PyTorch models. Wrap once. Train forever.

Federated continual learning system for planetary climate forecasting. Combines FedAvg, Elastic Weight Consolidation, Physics-Informed Neural Networks, and Multi-Agent PPO across 3 geographic nodes. 29 tests · CI/CD · PyTorch

A comparative evaluation of continual learning strategies to mitigate catastrophic forgetting in neural networks.

The ability to learn tasks in a sequential fashion is crucial to the development of artificial intelligence. Until now neural networks have not been capable of this and it has been widely thought that catastrophic forgetting is an inevitable feature of connectionist models.

CVE model that learns new vulnerability types without catastrophic forgetting

StackStorm pack containing demo workflows and automations